AI Engineer

Location: Cambridge, Massachusetts, United States; only U.S. persons are eligible

Salary: $121,600–$194,500 per year, plus potential bonus, incentive compensation, or equity

Company

hirify.global develops mRNA-based medicines, vaccines, delivery technologies, and manufacturing capabilities for infectious diseases, oncology, rare diseases, and cardiovascular diseases.

What you will do

• Define technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud-based data and AI platforms.
• Design and operate cloud deployment standards across development, testing, validation, and production, including lakehouse architecture, Unity Catalog, MLflow, model serving, automation, observability, and governance.
• Build and review production APIs, orchestration patterns, model-serving interfaces, reusable libraries, and platform accelerators.
• Establish AI/ML/LLMOps practices covering testing, CI/CD, infrastructure as code, release management, model and prompt versioning, evaluation, monitoring, incident response, and rollback.
• Integrate SAP and enterprise data sources into trusted data products, feature pipelines, semantic layers, and decision-support services for Supply Chain, Quality, Manufacturing, Finance, and Digital stakeholders.
• Partner with product, architecture, cybersecurity, quality, validation, and infrastructure teams to deliver secure, compliant, reliable, and cost-efficient systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field, or equivalent deep technical experience.
• 4+ years of software, data, or AI engineering experience, including 2+ years delivering production ML, GenAI, analytics, automation, or data-intensive systems.
• Expert Python and SQL skills, strong software architecture fundamentals, and experience with Java, Scala, or TypeScript.
• Hands-on frontend experience with TypeScript or JavaScript and a modern framework such as React, Angular, Vue, or Svelte, plus backend experience designing production APIs and services.
• Experience architecting and operating LLM/GenAI systems involving RAG, agents, tool use, embeddings, vector search, evaluation, guardrails, monitoring, and human-in-the-loop controls.
• Experience with secure, compliant, and auditable systems in regulated environments and eligibility to work as a U.S. person are required.

Nice to have

• Experience in life sciences, pharmaceutical manufacturing, supply chain, quality, or another regulated operational domain.
• Experience with SAP-centric supply chain data and integration patterns, including SAP ECC/S/4HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, or BTP.
• Experience mentoring senior engineers and influencing technical direction across global teams.

Culture & Benefits

• Healthcare and voluntary benefit programs.
• Fitness, mindfulness, and mental health resources.
• Family planning support, including fertility, adoption, and surrogacy benefits.
• Paid time off including vacation, volunteer days, sabbatical, global recharge days, and a year-end shutdown.
• Savings and investment programs, plus location-specific benefits.